Artificial Intelligence (AI)

Amazon Bedrock Guardrails announces the general availability of image content filters - offering industry-leading text and image content safeguards that help customers block up to 88% of harmful multi modal content. This new capability removes the heavy lifting required by customers to build their own safeguards for image content or spend cycles with manual content moderation that can be error-prone and tedious. Bedrock Guardrails provides configurable safeguards to detect and block harmful content and prompt attacks, define topics to deny and disallow specific topics, redact personally identifiable information (PII) such as personal data, block specific words, along with…

We are announcing the support of Amazon OpenSearch Managed cluster as a vector store in Amazon Bedrock Knowledge Bases. Amazon Bedrock Knowledge Bases securely connects foundation models (FMs) to internal company data sources for Retrieval Augmented Generation (RAG), to deliver more relevant and accurate responses. Amazon Bedrock Knowledge Bases’ native integration with vector databases allows you to mitigate the need to build custom data source integrations. With this launch, you can use OpenSearch managed cluster as the vector database to take advantage of the suite of features available in Bedrock Knowledge Bases. This integration adds to the list of vector database…

Starting today, Amazon Q Business is available in Asia Pacific (Sydney) AWS Region. Amazon Q Business revolutionizes the way that employees interact with organizational knowledge and enterprise systems. Q Business customers in this region can get answers from enterprise RAG knowledge bases and uploaded files (e.g. pdf's, images) and run tabular search on small tables. Customers can also get answers from LLM knowledge and generate content using their Q Business assistant. Amazon Q Business connects seamlessly to over 40 popular enterprise systems, including Amazon Simple Storage Service (Amazon S3), Microsoft 365, and Salesforce. It ensures that users access content secure…

Startups focused on AI are influencing so many areas of our lives. They’re defining the future of education, advancing healthcare innovation, reinventing collaboration and more. To help AI-focused startups scale quickly and build responsibly, we’re hosting the Google for Startups Cloud AI Accelerator. This program builds on the success of our recent AI First accelerators and targets startups building AI solutions based in the U.S. and Canada. This is the first of several AI-focused programs we'll offer throughout the year across the US, Canada, Europe, India and Brazil... View the full article

Amazon Bedrock Custom Model Import enables customers to import and run their customized foundation models on-demand without managing the underlying infrastructure. Customers can now get full transparency into the compute resources being used and calculate inference costs in real-time. With this launch, customers are able to see the minimum compute resources, custom model units (CMUs), required to run their model prior to model invocation in the Bedrock console and through Bedrock APIs. As the model scales to handle more traffic, CloudWatch metrics provide real-time visibility into the inference costs by showing the total number of CMUs used. This enables customers to b…

Enterprise computing is undergoing a radical transformation. As businesses strive to remain competitive in an AI-driven world, a new paradigm is emerging: agentic AI and multi-agent systems. These intelligent, autonomous software agents are not just augmenting workflows—they’re redefining them. In the next five years, multi-agent architectures will become a foundational element of enterprise infrastructure, impacting […] The article Future of Enterprise Computing: How Agentic AI and Multi-Agent Workflows Are Transforming Business Processes was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

Gemini 2.5 is our most intelligent AI model, now with thinking built in.View the full article

Ever find yourself staring at an AI coding assistant, wondering why it’s not quite nailing what you need? Maybe it’s spitting out code that’s close but not quite right, or you’re stuck wrestling with a problem that spans multiple files, wishing it could just get the bigger picture. Often, when developers hit these snags, it’s less about the tool, and more about knowing how to use it. So here’s the key question you should ask yourself: “Do I need a quick answer or a thoughtful conversation?” That’s the secret to unlocking AI coding tools like GitHub Copilot... The GitHub BlogMastering GitHub Copilot: When to use AI agent modeDiscover the differences between agent mode and …

A new report published today by Implement Consulting Group, entitled “The AI opportunity for eGovernment in the EU”, finds that adopting generative AI can unlock a EUR 100 billion opportunity for EU public administrations through enhanced productivity and create significant value for EU citizens and businesses. AI is not merely a technological advancement to consider, but a fundamental "imperative" for the evolution of eGovernment across the EU, with productivity savings being a key enabler... View the full article

Today’s organizations recognize the importance of data-driven decision-making, but the process of setting up a data pipeline that’s easy to use, easy to track and easy to trust continues to be a complex challenge. Reducing time to success allows organizations to see immediate value from their data investments and scale up productivity. Our investment in DataOps.live, a SaaS platform for data engineering and operations, will help Snowflake users accelerate that timeline. DataOps.live allows organizations to quickly set up data pipelines in Snowflake at scale and improve continuous integration and continuous deployment (CI/CD) for data operations. Leading international ent…

Anthropic has finally added web search capabilities to Claude 3.7 Sonnet, allowing the AI chatbot to access up-to-date information beyond its knowledge cutoff date of October 2024. This article, "Anthropic's Claude Finally Gets Web Search, Months After ChatGPT" first appeared on MacRumors.com Discuss this article in our forums View the full article

Significant changes have occurred in the retail industry in recent years, with AI-driven solutions becoming a key element of contemporary inventory management systems. View the full article

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this edition, we talk to Douwe Kiela, the CEO and co-founder of Contextual AI, a startup that helps companies build highly specialized, production-grade AI agents. These agents are capable of reasoning over enterprise data using retrieval-augmented generation (RAG), making them uniquely able to very accurately understand the context of a business... View the full article

Topic was moved to forum Artificial Intelligence (AI)

Amazon Bedrock Model Evaluation’s LLM-as-a-judge capability is now generally available. Amazon Bedrock Model Evaluation allows you to evaluate, compare, and select the right models for your use case. You can choose an LLM as your judge from several available on Bedrock to ensure you have the right combination of evaluator models and models being evaluated. You can select quality metrics such as correctness, completeness, and professional style and tone, as well as responsible AI metrics such as harmfulness and answer refusal. You can evaluate all available models on Amazon Bedrock, including serverless models, Bedrock Marketplace models compatible with Converse API, custo…

Amazon Bedrock RAG evaluation is now generally available. You can evaluate your retrieval-augmented generation (RAG) applications, either those built on Amazon Bedrock Knowledge Bases or a custom RAG system. You can evaluate either retrieval or end-to-end generation. Evaluations are powered by an LLM-as-a-judge, with a choice of several judge models. For retrieval, you can select from metrics such as context relevance and coverage. For end-to-end retrieve and generation, you can select from quality metrics such as correctness, completeness, and faithfulness (hallucination detection), and responsible AI metrics such as harmfulness, answer refusal, and stereotyping. You can…

Starting today, Amazon Q Business is available in AWS Europe region (Ireland). Amazon Q Business revolutionizes the way that employees interact with organizational knowledge and enterprise systems. Q Business customers in this region can get answers from enterprise RAG knowledge bases and uploaded files (e.g. pdf's, images) and run tabular search on small tables. Customers can also get answers from LLM knowledge and generate content using their Q Business assistant. Amazon Q Business connects seamlessly to over 40 popular enterprise systems, including Amazon Simple Storage Service (Amazon S3), Microsoft 365, and Salesforce. It ensures that users access content securely wi…

The rise of agentic AI is accelerating. But as enterprises embrace AI autonomy, a critical question looms - how well is security keeping up? The post Agentic AI Enhances Enterprise Automation: Without Adaptive Security, its Autonomy Risks Expanding Attack Surfaces appeared first on Security Boulevard. View the full article

The test automation business is undergoing a paradigm shift as artificial intelligence (AI) becomes more integrated into testing systems.View the full article

Overwhelmed AppSec teams are turning to agentic AI to handle the tedious manual work of security reporting, threat modeling, and code reviews, but successful implementation requires careful human oversight.View the full article

By combining AI agents, you can build an application that not only answers questions and searches the internet but also performs computations and visualizes data effectively.View the full article

Kubernetes Site Reliability Engineers (SREs) frequently encounter complex scenarios demanding swift and effective troubleshooting to maintain the stability and reliability of clusters. Traditional debugging methods, including manual inspection of logs, event streams, configurations, and system metrics, can be painstakingly slow and prone to human error, particularly under pressure. This manual approach often leads to extended downtimes, delayed issue resolution, and increased operational overhead, significantly impacting both the user experience and organizational productivity. View the full article

Topic was moved to forum Databases

Through this article, Roberto Tovar Arellano, Digital & Data Tech BP Manager, View the full article

Topic was moved to forum Microsoft Azure

Amazon Bedrock Guardrails announces Identity and Access Management (IAM) policy-based enforcement capabilities to build safe, generative AI applications at scale. This new feature enables customers to apply specific guardrails to model inference calls, ensuring responsible AI policies are applied across all AI interactions. Bedrock Guardrails provides configurable safeguards to detect and filter undesirable content, topic filters to define and disallow specific topics, sensitive information filters to redact personally identifiable information (PII), word filters to block specific words, and detect model hallucinations by detecting grounding and relevance of model respons…

In The Vibe Coding Handbook: How To Engineer Production-Grade Software With GenAI, Chat, Agents, and Beyond, Steve Yegge and I describe a spectrum of coding modalities with GenAI. On one extreme is “pairing,” where you are working with the AI to achieve a goal. It really is like pair programming with another person, if that person was like a “summer intern who believes in conspiracy theories” (as coined by Simon Willison) and the world’s best software architect. On the other extreme is “delegating” (which I think many will associate with “agentic coding”), where you ask the AI to do something, and it does so without any human interaction... The post Vibe Coding: Pairing…

What do you do when you have a critical book deadline and need to use a tool you wrote that hasn’t worked in two years? It doesn’t deploy anymore because of some obscure error at startup in Google Cloud Run. And you haven’t touched the code in two years and don’t remember how any of this works. Oh, and by the way, the entire data pipeline that made it so useful stopped working two years ago when Twitter limited access to their API and Zapier deprecated their integration... The post Resurrecting My Trello Management Tool and Data Pipeline with Claude Code using Vibe Coding appeared first on IT Revolution. View the full article

Pollux Labs is using a Raspberry Pi to power this rotary phone project that integrates Chat GPT and remembers previous conversations. View the full article

Welcome back to our second GitHub for Beginners series, where we are diving into the world of GitHub Copilot. In our previous episode, we introduced you to GitHub Copilot and gave you some guidance on getting started. Hopefully you’ve had a chance to give it a try! Today we’re going to be looking at some of the essential features of Copilot, and provide you with tips on how to make the most out of your AI coding assistant... The GitHub BlogGitHub for Beginners: Essential features of GitHub CopilotGet the most out of Copilot with code completion, inline chat, slash commands, Copilot code review, and more.

Bedrock Security today revealed it has added generative artificial intelligence (GenAI) capabilities along with a metadata repository based on graph technologies to its data security platform. The post Bedrock Security Embraces Generative AI and Graph Technologies to Improve Data Security appeared first on Security Boulevard. View the full article

Through this article, Roberto Tovar Arellano, Digital & Data Tech BP Manager, View the full article

Generative AI is evolving rapidly, and developers are increasingly looking for efficient ways to manage multiple LLMs (Large Language Models) using a centralized proxy. LiteLLM is a powerful solution that simplifies multi-LLM management by acting as a proxy server. However, setting it up on Microsoft Azure can be challenging due to lack of clear documentation—until […] The article Deploy LiteLLM on Microsoft Azure with AZD, Azure Container Apps and PostgreSQL was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

Amazon Bedrock now supports fine-tuning for Meta’s Llama 3.2 models (1B, 3B, 11B, and 90B), enabling businesses to customize these generative AI models with their own data. Llama 3.2 models are available in various sizes, from small (1B and 3B) to medium-sized multimodal models (11B and 90B). Llama 3.2 11B and 90B models are the first in the Llama series to support both text and vision tasks, achieved by integrating image encoder representations into the language model. Fine-tuning allows you to adapt Llama 3.2 models for domain-specific tasks, enhancing performance for specialized use cases. The Llama 3.2 90B model excels in advanced reasoning, long-form text generati…

In todayâs rapidly evolving financial landscape, the ability to harness data effectively is a competitive advantage. View the full article

AI Copilots and Agentic AI (those capable of independently taking actions to achieve specified goals) remain the talk of the... The post 5 Ways to Prepare Your Data Estate for Copilot Adoption and Agentic AI appeared first on Symmetry Systems. The post 5 Ways to Prepare Your Data Estate for Copilot Adoption and Agentic AI appeared first on Security Boulevard. View the full article

Topic was moved to forum Artificial Intelligence (AI)

Customers can use regional processing profiles for Amazon Nova understanding models (Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro) in the Europe (Milan) and Europe (Spain) regions. Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple …

Amazon Bedrock's capabilities are now generally available within Amazon SageMaker Unified Studio, offering a governed collaborative environment that empowers developers to rapidly create and customize generative AI applications. This intuitive interface caters to developers of all skill levels, providing seamless access to Amazon Bedrock's high-performance foundation models (FMs) and advanced customization tools for collaborative development of tailored generative AI applications. Amazon Bedrock can be accessed through the AWS Management Console, APIs, or Amazon SageMaker Unified Studio. Its integration in Amazon SageMaker Unified Studio eliminates barriers between dat…

Cursor AI refuses to generate codes larger than 800 lines of code. View the full article

Introducing Gemini Robotics and Gemini Robotics-ER, AI models designed for robots to understand, act and react to the physical world.View the full article

Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.View the full article

The most capable model you can run on a single GPU or TPU.View the full article

Amazon Bedrock Flows and Amazon Bedrock Prompt Management are now available in AWS GovCloud (US) and Europe (Stockholm) regions. Flows helps you accelerate the creation, testing, and deployment of predefined generative AI workflows. You can use the visual builder or SDK to connect the latest foundation models, prompts, agents, knowledge bases, and other AWS services to create and test generative AI workflows. You can easily experiment with Flows using the visual builder or APIs, A/B test multiple flow versions, and deploy and scale to production using serverless infrastructure. Prompt Management helps you simplify the creation, evaluation, versioning, and sharing of pr…

DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. AWS is the first cloud service provider to deliver DeepSeek-R1 as a fully managed, generally available model. You can power your applications with DeepSeek-R1's capabilities through Amazon Bedrock's fully managed service via a single API along with Amazon Bedrock's tools, allowing your team to focus on building differentiated generative AI applications right away. By using Amazon Bedrock to deploy DeepSeek-R1, you also get seamless access to enterprise-grade security, monitoring, and cost-control features essential for deploying AI responsibly at scale, all while giving you complete contr…

As of January 30, DeepSeek-R1 models became available in Amazon Bedrock through the Amazon Bedrock Marketplace and Amazon Bedrock Custom Model Import. Since then, thousands of customers have deployed these models in Amazon Bedrock. Customers value the robust guardrails and comprehensive tooling for safe AI deployment. Today, we’re making it even easier to use DeepSeek in Amazon Bedrock through an expanded range of options, including a new serverless solution. The fully managed DeepSeek-R1 model is now generally available in Amazon Bedrock. Amazon Web Services (AWS) is the first cloud service provider (CSP) to deliver DeepSeek-R1 as a fully managed, generally available mod…

Today, AWS announces the general availability (GA) of multi-agent collaboration for Amazon Bedrock, allowing developers to create networks of specialized agents that communicate and coordinate under the guidance of a supervisor agent. This new capability allows you to tackle more intricate, multi-step workflows and scale your AI-driven applications more effectively. Amazon Bedrock multi-agent collaboration GA introduces key enhancements designed to improve scalability, flexibility, and operational efficiency. Inline Agents allow you to dynamically adjust agent roles and behaviors at runtime, making workflows more adaptable as your business needs evolve. With Payload Ref…

Many financial services companies are experimenting with AI through pilot programs, but several challenges remain for adoption. Key concerns include data security, the accuracy of large language models (LLMs) and the rigorous scrutiny from regulators regarding AI’s role in financial decision-making. Current use cases are largely internal, with some customer-facing chatbot solutions addressing noncritical service inquiries... View the full article

Many financial services companies are experimenting with AI through pilot programs, but several challenges remain for adoption. Key concerns include data security, the accuracy of large language models (LLMs) and the rigorous scrutiny from regulators regarding AI’s role in financial decision-making. Current use cases are largely internal, with some customer-facing chatbot solutions addressing noncritical service inquiries... View the full article

Today, AWS announces the general availability of GraphRAG, a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) by incorporating graph data. GraphRAG delivers more comprehensive, relevant, and explainable responses by leveraging relationships within your data, improving how Generative AI applications retrieve and synthesize information. Since public preview, customers have leveraged the managed GraphRAG capability to get improved responses to queries from their end users. GraphRAG automatically generates and stores vector embeddings in Amazon Neptune Analytics, along with a graph representation of entities and their relation…